19 of 19 Semantic Layer Jobs in London

Data Engineering, Analytics Engineering, and Data Product disciplines. This role will sit firmly in the Analytics Engineering function, focused on modelling and building the semantic layer that powers consistent, reliable insights across the company’s BI and data science platforms. This role will focus on the “middle layer", designing dimensional models, building reusable dbt pipelines, and ensuring the semantic layer meets the needs of Power BI, Looker, and data science teams. There’s also the opportunity to stretch into data product work, partnering with stakeholders to understand and translate business requirements into robust data models. … Key Responsibilities: Build and maintain well-structured, scalable data models using dbt and Kimball/Medallion architecture. Develop and own the semantic layer, shifting calculations and business logic out of BI tools and into the model layer to drive consistency across Looker, Power BI, and other downstream More ❯

Data Engineering, Analytics Engineering, and Data Product disciplines. This role will sit firmly in the Analytics Engineering function, focused on modelling and building the semantic layer that powers consistent, reliable insights across the company’s BI and data science platforms. This role will focus on the “middle layer", designing dimensional models, building reusable dbt pipelines, and ensuring the semantic layer meets the needs of Power BI, Looker, and data science teams. There’s also the opportunity to stretch into data product work, partnering with stakeholders to understand and translate business requirements into robust data models. … Key Responsibilities: Build and maintain well-structured, scalable data models using dbt and Kimball/Medallion architecture. Develop and own the semantic layer, shifting calculations and business logic out of BI tools and into the model layer to drive consistency across Looker, Power BI, and other downstream More ❯

Data Engineering, Analytics Engineering, and Data Product disciplines. This role will sit firmly in the Analytics Engineering function, focused on modelling and building the semantic layer that powers consistent, reliable insights across the company’s BI and data science platforms. This role will focus on the “middle layer", designing dimensional models, building reusable dbt pipelines, and ensuring the semantic layer meets the needs of Power BI, Looker, and data science teams. There’s also the opportunity to stretch into data product work, partnering with stakeholders to understand and translate business requirements into robust data models. … Key Responsibilities: Build and maintain well-structured, scalable data models using dbt and Kimball/Medallion architecture. Develop and own the semantic layer, shifting calculations and business logic out of BI tools and into the model layer to drive consistency across Looker, Power BI, and other downstream More ❯

scalable, maintainable, and effectively serve the complex analytical and operational needs of the entire organisation. You will be instrumental in defining and refining the semantic layer (Cube) to guarantee consistent and accurate metrics. Drive Data Integration and Transformation Excellence: Establishing and enforcing best practices for data ingestion and … hands-on experience using dbt, complemented by practical experience with orchestration tools such as Dagster or Airflow. Have a proven track record of successful semantic layer implementation, showcasing experience in the end-to-end implementation and management of a modern semantic layer (e.g., Cube) to empower More ❯

deploy scalable data pipelines. Collaborate on data extraction processes and implement monitoring solutions for pipeline health. Use dbt for data modelling and orchestration, including semantic layer modelling for BI and marketing workflows. Incorporate automated testing and CI/CD pipelines to ensure quality and smooth deployment. Work with … similar platforms for data extraction and API management. Experience with dbt, GitHub, CI/CD, and automated testing. Understanding of data modelling principles and semantic layer creation. Knowledge of data governance, lineage, monitoring, and alerting. Ability to translate stakeholder requirements into technical solutions. Familiarity with data privacy regulations More ❯

wide Partner with analytics engineers, analysts, and platform teams to raise the bar for data quality and modeling Help define the future of our semantic layer, testing strategy, and platform workflows Be a go-to technical leader—bringing alignment and clarity to complex data challenges What You Bring … dbt, BigQuery, and orchestration tools (e.g. Airflow, dbt Cloud) Proven ability to design end-to-end data architecture—from ingestion to warehouse modeling to semantic layers—not just implement someone else’s plan A strong understanding of data modeling and platform trade-offs, and the ability to drive architectural … scalable architecture improvements We’re committed to helping you develop your career—whether that means growing into broader technical leadership, defining strategy for our semantic layer, or mentoring the next wave of engineers joining the team. Show me the benefits! Your own Pleo card (no more out-of More ❯

and documentation Partner with analysts and stakeholders to define and deliver core business logic and metrics Enable scalable, self-service analytics through well-structured semantic layers Core Responsibilities Build and maintain dbt models , views, and transformations to support business intelligence and analytics Translate business requirements into performant and reliable More ❯

define KPIs, metrics, and business requirements Ensure data quality, consistency, and reliability across all visualizations Partner with analytics engineers to improve data pipelines and semantic layers that feed your dashboards Key Responsibilities Build and maintain user-friendly dashboards using tools such as Tableau or other BI tools Collaborate with … needs Strong working knowledge of SQL for data querying and transformation Experience working with Python for advanced data manipulation Understanding of data modelling and semantic layer design Comfortable working with sensitive or complex data from multiple domains (e.g., HR, Finance, Risk, Marketing) Experience with Tableau Server or Tableau More ❯

BI that incorporates business users into the design process and focuses on generating the data models, database objects, data integration mappings and front-end semantic layers directly from the business user input Overall responsibility for management, prioritisation, and delivery of data-driven initiatives within the organisation. Recognise and assist More ❯

BI that incorporates business users into the design process and focuses on generating the data models, database objects, data integration mappings and front-end semantic layers directly from the business user input Overall responsibility for management, prioritisation, and delivery of data-driven initiatives within the organisation. Recognise and assist More ❯

created and code created. You’ll coach and mentor Data Engineers & Associate Data Engineers. You’ll create high complexity BI solutions including data marts, semantic layer, and on occasion reporting & visualisation solutions in recognised BI tools such as PowerBI. Experience & knowledge Requires extensive experience of developing and implementing More ❯

Senior Data Management Professional - Data Product Owner, Semantic Modeling - Company Financials Join to apply for the Senior Data Management Professional - Data Product Owner, Semantic Modeling - Company Financials role at Bloomberg Senior Data Management Professional - Data Product Owner, Semantic Modeling - Company Financials 2 weeks ago Be among the … first 25 applicants Join to apply for the Senior Data Management Professional - Data Product Owner, Semantic Modeling - Company Financials role at Bloomberg Get AI-powered advice on this job and more exclusive features. Bloomberg runs on data, and in Data we're responsible for acquiring and providing it to … domain subject matter experts, you will design the knowledge graph structure in order to support client needs while enriching the metadata available in the semantic layer and API layer. We’ll Trust You To Maintain and evolve a roadmap for the discovery layer of the Company Financials More ❯

define KPIs, metrics, and business requirements Ensure data quality, consistency, and reliability across all visualizations Partner with analytics engineers to improve data pipelines and semantic layers that feed your dashboards Key Responsibilities Build and maintain user-friendly dashboards using tools such as Tableau or other BI tools Collaborate with … needs Strong working knowledge of SQL for data querying and transformation Experience working with Python for advanced data manipulation Understanding of data modelling and semantic layer design Comfortable working with sensitive or complex data from multiple domains (e.g., HR, Finance, Risk, Marketing) Experience with Tableau Server or Tableau More ❯

Experience partnering with distributed teams to enhance data architecture and streamline pipeline efficiency Experience creating and contributing to key data architecture artefacts, including ERDs, semantic layer designs, data flow documentation, API specs and metadata management Essential Strong commercial awareness with the ability to assess supplier technical proposals and More ❯

for use within our subsidized onsite canteen Must have skills At least 6 years development experience using Power BI to include dashboard building and semantic layer modelling. At least 3 projects experience in analyzing and improving performance issues in Power BI dashboards. To include inefficiencies in DAX coding More ❯

go-to-market strategies at the account level. Understanding of Agile methodology for development and execution. Proficient in data consumption design patterns such as semantic layers and visualisations. Experience in implementing MLOps projects. Maintain an active learning approach, stay current with industry trends, and apply insights to develop solutions More ❯

Senior Data Management Professional - Data Product Owner, Semantic Modeling - Company Financials Bloomberg runs on data, and in Data we're responsible for acquiring and providing it to our clients. We collect, model, analyze, and publish data which is the backbone of the Bloomberg Terminal. We apply problem-solving skills … domain subject matter experts, you will design the knowledge graph structure in order to support client needs while enriching the metadata available in the semantic layer and API layer. We'll trust you to: Maintain and evolve a roadmap for the discovery layer of the Company Financials … to market* Knowledge of how company financials data is used by different financial market players Proven skills in designing systems for data modelling and semantic modelling Technical proficiency in being comfortable discussing technical concepts and experience evaluating trade-offs in design with Engineering, CTO, and Product We'd love More ❯

of their Databricks setup from proof-of-concept to production, ensuring high levels of optimization and scalability for global operations. Responsibilities include implementing a semantic layer for data management, developing data pipelines, and enabling real-time reporting and visualization. Post-platform deployment, the focus will shift to applying More ❯

Hands on experience administering replication tools like Qlik , Fivetran etc Hands on experience with ETL tools like TalenD Hands on experience with reporting and semantic layer tools Five years of cloud deployment experience, preferred with Azure experiences Demonstrated cloud deployment experiences using standard CI/CD pipeline Working More ❯